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|grical.realraum.at !realraum 2019-05-20 2019-09-20|
|Dienstag, 2nd Jul|
Django applications running on an Apache web server can be monitored based on log messages transferred by Python log handlers and filebeat, collected and parsed by Logstash, stored in Elasticsearch and analyzed with Kibana and Grafana.
This talk shows how to setup and configure Django, Python logging and Apache to get the most out of your logging data.
Logstash is a data collecting and log parsing engine which uses Elasticsearch as target storage. Combined with Kibana and Grafana it is a popular solution to analyze and monitor server side applications.
This talk explains how to configure Logstash and its related tools to effectively monitor a Django application running on an Apache web server.
Topics covered are:
Installation: package or docker
Python logging handlers for logstash
Elastic common schema (ECS) for log entries
Parsing Apache logs
Access_log vs error_log
Time formats and zones
Mods to extend the logging information
Mapping Python and Apache log levels
Debugging grok filters
Sending log files with Filebeats